Literature DB >> 18265826

A model of the neural mechanisms underlying multisensory integration in the superior colliculus.

Benjamin A Rowland1, Terrence R Stanford, Barry E Stein.   

Abstract

Much of the information about multisensory integration is derived from studies of the cat superior colliculus (SC), a midbrain structure involved in orientation behaviors. This integration is apparent in the enhanced responses of SC neurons to cross-modal stimuli, responses that exceed those to any of the modality-specific component stimuli. The simplest model of multisensory integration is one in which the SC neuron simply sums its various sensory inputs. However, a number of empirical findings reveal the inadequacy of such a model; for example, the finding that deactivation of cortico-collicular inputs eliminates the enhanced response to a cross-modal stimulus without eliminating responses to the modality-specific component stimuli. These and other empirical findings inform a computational model that accounts for all of the most fundamental aspects of SC multisensory integration. The model is presented in two forms: an algebraic form that conveys the essential insights, and a compartmental form that represents the neuronal computations in a more biologically realistic way.

Mesh:

Year:  2007        PMID: 18265826     DOI: 10.1068/p5842

Source DB:  PubMed          Journal:  Perception        ISSN: 0301-0066            Impact factor:   1.490


  36 in total

Review 1.  Dissecting neural circuits for multisensory integration and crossmodal processing.

Authors:  Jeffrey M Yau; Gregory C DeAngelis; Dora E Angelaki
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-09-19       Impact factor: 6.237

2.  Axon morphologies and convergence patterns of projections from different sensory-specific cortices of the anterior ectosylvian sulcus onto multisensory neurons in the cat superior colliculus.

Authors:  Veronica Fuentes-Santamaria; Juan C Alvarado; John G McHaffie; Barry E Stein
Journal:  Cereb Cortex       Date:  2009-04-09       Impact factor: 5.357

3.  Impact of response duration on multisensory integration.

Authors:  Dipanwita Ghose; Zachary P Barnett; Mark T Wallace
Journal:  J Neurophysiol       Date:  2012-08-15       Impact factor: 2.714

Review 4.  Multisensory integration: flexible use of general operations.

Authors:  Nienke van Atteveldt; Micah M Murray; Gregor Thut; Charles E Schroeder
Journal:  Neuron       Date:  2014-03-19       Impact factor: 17.173

5.  A neural network model of multisensory integration also accounts for unisensory integration in superior colliculus.

Authors:  Juan Carlos Alvarado; Benjamin A Rowland; Terrence R Stanford; Barry E Stein
Journal:  Brain Res       Date:  2008-04-09       Impact factor: 3.252

6.  Connectional parameters determine multisensory processing in a spiking network model of multisensory convergence.

Authors:  H K Lim; L P Keniston; J H Shin; B L Allman; M A Meredith; K J Cios
Journal:  Exp Brain Res       Date:  2011-04-12       Impact factor: 1.972

7.  Normalizing relations between the senses.

Authors:  Anne K Churchland
Journal:  Nat Neurosci       Date:  2011-06       Impact factor: 24.884

8.  Multisensory Integration Uses a Real-Time Unisensory-Multisensory Transform.

Authors:  Ryan L Miller; Barry E Stein; Benjamin A Rowland
Journal:  J Neurosci       Date:  2017-04-27       Impact factor: 6.167

9.  Development of cortical influences on superior colliculus multisensory neurons: effects of dark-rearing.

Authors:  Liping Yu; Jinghong Xu; Benjamin A Rowland; Barry E Stein
Journal:  Eur J Neurosci       Date:  2013-03-27       Impact factor: 3.386

10.  An emergent model of multisensory integration in superior colliculus neurons.

Authors:  Cristiano Cuppini; Mauro Ursino; Elisa Magosso; Benjamin A Rowland; Barry E Stein
Journal:  Front Integr Neurosci       Date:  2010-03-22
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